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---
license: cc-by-nc-sa-4.0
base_model: audeering/wav2vec2-large-robust-6-ft-age-gender
tags:
- generated_from_trainer
datasets:
- SLIdataset
metrics:
- accuracy
model-index:
- name: wav2vec2-large-robust-6-ft-age-gender-finetuned-dataset
results:
- task:
name: Audio Classification
type: audio-classification
dataset:
name: privateSLI
type: SLIdataset
metrics:
- name: Accuracy
type: accuracy
value: 0.9832041343669251
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-large-robust-6-ft-age-gender-finetuned-dataset
This model is a fine-tuned version of [audeering/wav2vec2-large-robust-6-ft-age-gender](https://huggingface.co/audeering/wav2vec2-large-robust-6-ft-age-gender) on the privateSLI dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0890
- Accuracy: 0.9832
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4327 | 1.0 | 289 | 0.2571 | 0.9134 |
| 0.6169 | 2.0 | 578 | 0.1431 | 0.9638 |
| 0.2803 | 3.0 | 867 | 0.2276 | 0.9561 |
| 0.1813 | 4.0 | 1156 | 0.1077 | 0.9780 |
| 0.0785 | 5.0 | 1445 | 0.0764 | 0.9832 |
| 0.0369 | 6.0 | 1734 | 0.0835 | 0.9832 |
| 0.1594 | 7.0 | 2023 | 0.0756 | 0.9845 |
| 0.129 | 8.0 | 2312 | 0.0761 | 0.9884 |
| 0.1519 | 9.0 | 2601 | 0.0682 | 0.9871 |
| 0.1179 | 10.0 | 2890 | 0.0890 | 0.9832 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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